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Self-tuning PID controller using d-model identification

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dc.title Self-tuning PID controller using d-model identification en
dc.contributor.author Bobál, Vladimír
dc.contributor.author Sysel, Martin
dc.contributor.author Dostál, Petr
dc.relation.ispartof International Journal of Adaptive Control and Signal Processing
dc.identifier.issn 0890-6327 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2002
utb.relation.volume 16
utb.relation.issue 6
dc.citation.spage 455
dc.citation.epage 471
dc.type article
dc.language.iso en
dc.publisher John Wiley & Sons, Inc. en
dc.identifier.doi 10.1002/acs.706
dc.relation.uri http://onlinelibrary.wiley.com/doi/10.1002/acs.706/abstract
dc.subject samočinně se nastavující regulátor cs
dc.subject PID regulace cs
dc.subject delta model cs
dc.subject Ziegler-Nicholsovo kriterium cs
dc.subject self-tuning control en
dc.subject PID control en
dc.subject delta model en
dc.subject Ziegler-Nichols criterion en
dc.description.abstract This contribution presents an application of a self-tuning digital PID controller for process control modelled by d - models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with LD decomposition and applied directional forgetting. Controller synthesis is designed on the basis of a modified Ziegler-Nichols criterion for digital PID control loops. The ultimate (critical) proportional gain and period of oscillations have been derived for the second - order d - model. Control results using digital PID controller on the basic d - models and z - models are compared. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1000133
utb.identifier.rivid RIV/70883521:28110/02:63500639
utb.identifier.obdid 11052517
utb.identifier.scopus 2-s2.0-0036679052
utb.identifier.wok 000177506400003
utb.source j-riv
utb.contributor.internalauthor Bobál, Vladimír
utb.contributor.internalauthor Sysel, Martin
utb.contributor.internalauthor Dostál, Petr
utb.fulltext.affiliation Vladimír Bobal*, Martin Sysel and Petr Dostál Department of Control Theory, Institute of Information Technologies, Faculty of Technology, Tomas Bata University in Zlín, nám. TGM 275, 762 72 Zlín, Czech Republic
utb.fulltext.dates Received 8 October 2000
utb.fulltext.sponsorship This work was supported in part by the Grant Agency of the Czech Republic under grant No. 102/99/1292, and by the Ministry of Education of the Czech Republic under grant No. CEZ MSM 281100001.
utb.fulltext.projects GACR 102/99/1292
utb.fulltext.projects MSM 281100001
utb.fulltext.faculty Faculty of Technology
utb.fulltext.ou Department of Control Theory, Institute of Information Technologies
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